Portfolio Selection into Radial Basis Functions Networks and neuro-genetic RBFN Hybrids
Authors: Loukeris, Nikolaos 
Eleftheriadis, Iordanis 
Livanis, Efstratios 
Publisher: IEEE
Issue Date: 1-Jan-2014
Conference: 5th International Conference on Information, Intelligence, Systems and Applications (IISA 2014), 7-9 July 2014, Crete, Greece 
Book: Conference Proceedings of the 5th International Conference on Information, Intelligence, Systems and Applications (IISA 2014) 
Abstract: 
The portfolio selection is upgraded should it includes unobtrusive hidden information, into extended accounting and financial data. The Radial Basis Function Nets are examined on numerous hybrids topologies, aiming to specify the most advanced techniques in portfolio management. A Radial Basis Function Hybrid into Genetic Algorithms optimisation is superior to all the hybrid neuro-genetics of RBFs.
ISBN: 978-1-4799-6171-9
DOI: 10.1109/IISA.2014.6878774
URI: https://uniwacris.uniwa.gr/handle/3000/2202
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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